Gain professional skills to become an Data Engineer.
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With 7 days refund policy*
Gain professional skills to become an Data Engineer.
Mode: 100% Online
Buy 6 courses @ ₹1999 only
₹3,299 Flat 40% OFF
With 7 days refund policy*
30K+
Job Openings by 2024 (Top 5 trending technology)
₹5-16 LPA
Average salary of a Data Engineer in India (Glassdoor)
35%
Growth of Data Engineering from 2020 to 2030 (Payscale)
"Discover Data Engineering Excellence: Our combo pack offers a curated selection of courses, each with detailed modules to guide you from fundamentals to advanced skills."
Learn from scratch, make a career switch, or simply upgrade your skills, this course is everything you need if you’re a
We are an IIT-M and IIM-A incubated ed-tech company delivering world-class learning experiences by providing highly effective & finest learning solutions, breaking the language barrier in tech learning for more than 2 million learners worldwide.
We are an IIT-M and IIM-A incubated ed-tech company delivering world-class learning experiences by providing highly effective & finest learning solutions, breaking the language barrier in tech learning for more than 2 million learners worldwide.
"You will be lucky to find quality courses on GUVI. I must say that I was really lucky to get courses at such a low and discounted price. I got more than 9 hours of video and around 20 more resources to gain knowledge of programming. GUVI provides a wide variety of courses both technical and non-technical. I suggest GUVI is the best choice."
"What makes GUVI different is that it provides vernacular courses which make it easy to understand & practice platforms like CodeKata & WebKata, all these helped me improve my practical programming skills in the front end, back end. I highly recommend it if you want to get started with something new."
"I have opted for a combo-course that starts with the basics of the popular technologies and made me a pro in its domain... Codekata is very damn helpful to crack placements because it improved my efficiency in coding... we just need to be persistent and that’s all it takes. I am very happy to encounter GUVI!"
A tool-kit specifically developed to boost the coding skills and makes you ever-ready to crack interviews.
A cloud-based module to hone your front end skills without any hassle of local environment setup.
Practising on Debugging will help you get started and be familiarised with programming.
GUVI IDE is an Integrated Development Environment that lets you write, edit, run, test & debug your code.
Customer satisfaction is our first priority. If you are not satisfied with the course, send a mail to [email protected] with the reason for refund and your feedback on the course with the subject line "G1OX – Refund” , within 7 days of purchasing the course. Your refund will be processed immediately.
You will gain full access to CodeKata - a gamified practice platform which hosts 1000+ curated coding problems, Webkata - a gamified practice platform for Web problems, Debugging - A practise Platform to practise debugging problems and IDE - an Integrated Development Environment that lets you write, edit, run, test & debug your code.
It is a 100% online learning course package and there won’t be any necessity for you to be present in person.
Yes. You will gain complete access to our forum support to connect with our fellow aspiring users.
The certificates are rolled out as and when you complete a course.
Basics of Data science
Assignment 1
Introduction to Big data
Application of Big data Analytics
Introduction to R
In-Built functions in R
Basics of Statistics
Hypothesis testing
Statistical tests
Some more inbuilt functions in R
Statistical operations in R
Plotting in R
Basics of Machine learning
simple linear regression theory
Simple linear regression in R
Multiple linear regression theory
Multiple linear regression in R
Logistic regression
Metrics in logistic regression
Logistic regression model in R
Logistic regression metrics in R
Decision tree
CHAID
Random Forest
Random forest in R
Introduction to Clustering
Introduction to K-Means clustering
K-Means in R
Introduction
Setting up Pandas Environment
An Introduction to Jupyter Notebook
Loading Data into Pandas
A Deeper Look Into Data
DataFrames - Basic Functions
Dataframes- rows and columns
Sorting DataFrames
Handling Datetime Fields in Pandas
Statistical Functions in Pandas
Pandas - Indexes
Data Grouped Representation
Data Visualization
Adding New Data - Merge, Join
Adding New Data - Append/Concat
Final Project & End Note
Introduction to Seaborn Library
Relational Plots and Subplots in Seaborn
Subplotting in Rows and Columns using Relational Plot
Line Plots in Seaborn
Bar Plots, Box Plots and Point Plots in Seaborn
Colour Palettes in Seaborn
Introduction to BOKEH
Patch Plots and Scatter Marks in Bokeh
Area Plots and Circle Glyphs in Bokeh
Rectangle, Oval and Polygon Glyphs in Bokeh
Wedges, Arcs and Specialized curves in Bokeh
Setting Plot ranges and Axes in Bokeh Plots
Twin Axes, Datetime axes and Annotations in Bokeh Plots
Categorical and Log Axes in Bokeh
Row and Column Layouts in Bokeh Plots
Customizing Tools and Legends in Bokeh Plots
Column Data Source and Adding Widgets to Bokeh Plots
Lab 1 - Learn Power BI step by step(for beginners).
Lab 2: - Connecting SQL Server with Power BI.
Lab 3: - Line, Area, Stacked, Gauge, KPI and Funnel Graph in Power BI.
Lab 4: - Star Schema & Snow Flake design in Power BI project.
